大规模MIMO系统中基于用户位置和用户分类的导频分配

doi:10.11959/j.issn.1000-0801.2019191

Abstract

Abstract:

Aiming at the problem of pilot contamination in massive MIMO systems,a pilot allocation scheme based on users’ location and user classification was proposed.The scheme designed the objective function and reasonable threshold based on path loss and angle of arrival.By comparing the user’s objective function with the threshold,all users in the system were divided into two types:high interference and low interference,and the low-interference users multiplex pilot sequences and extra orthogonal pilot sequences were assigned to high interference users to mitigate pilot contamination.Simulation results show that the scheme improves the performance of the communication system.

Key words: massive MIMO, pilot contamination, pilot allocation, NMSE, signal to noise ratio, achievable sum rate

CLC Number:

TN929.5

Haiyan CAO, Zichang MA, Xiaohui YANG, Wenjuan HU, Fangmin XU, Xin FANG. Pilot allocation based on users’ location and user classification in massive MIMO system[J]. Telecommunications Science, 2019, 35(10): 92-99.

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References 18

[1]	LARSSON E G , EDFORS O , TUFVESSON F ,et al. Massive MIMO for next generation wireless systems[J]. IEEE Communications Magazine, 2014,52(2): 186-195.
[2]	JOSE J , ASHIKHMIN A , MARZETTA T L ,et al. Pilot contamination problem in multi-cell TDD systems[C]// IEEE International Conference on Symposium on Information Theory,June 28-July 3,2009,Seoul,South Korea. Piscataway:IEEE Press, 2009: 2184-2188.
[3]	YAO T Q , LI Y . Pilot contamination reduction by shifted frame structure in massive MIMO TDD wireless system[J]. Wuhan University Journal of Natural Sciences, 2015,20(3): 221-228.
[4]	ALKHALED M , ALSUSA E , HAMDI K A . Adaptive pilot allocation algorithm for pilot contamination mitigation in TDD massive MIMO systems[C]// Wireless Communications and Networking Conference,March 19-22,2017,San Francisco,CA,USA. Piscataway:IEEE Press, 2017: 1-6.
[5]	ECHIGO H , OHTSUKI T , JIANG W ,et al. Fair pilot assignment based on AOA and pathloss with location information in massive MIMO[C]// GLOBECOM 2017-2017 IEEE Global Communications Conference,Dec 4-8,2017,Singapore. Piscataway:IEEE Press, 2017: 1-6.
[6]	ZHU X , DAI L , WANG Z ,et al. Weighted-graph- coloring-based pilot decontamination for multicell massive MIMO systems[J]. IEEE Transactions on Vehicular Technology, 2017,66(3): 2829-2834.
[7]	AKBAR N , YAN S , YANG N ,et al. Mitigating pilot contamination through location-aware pilot assignment in massive MIMO networks[C]// GLOBECOM Workshops,Dec 4-8,2016,Washington,DC,USA. Piscataway:IEEE Press, 2016: 1-6.
[8]	WANG Z , QIAN C , DAI L ,et al. Location-based channel estimation and pilot assignment for massive MIMO systems[C]// The Workshop on ICC,June 8-12,2015,London,UK. Piscataway:IEEE Press, 2015: 1264-1268.
[9]	JOSE J , ASHIKHMIN A , WHITING P ,et al. Scheduling and pre-conditioning in multi-user MIMO TDD systems[J]. Mathematics, 2008: 4100-4105.
[10]	YIN H , GESBERT D , FILIPPOU M ,et al. A coordinated approach to channel estimation in large-scale multiple-antenna systems[J]. IEEE Journal on Selected Areas in Communications, 2013,31(2): 264-273.
[11]	TSAI J A , BUEHRER R M , WOERNER B D . The impact of AOA energy distribution on the spatial fading correlation of linear antenna array[C]// 2002 Vehicular Technology Conference,May 6-9,2002,Birmingham,AL,USA. Piscataway:IEEE Press, 2002: 933-937.
[12]	MARZETTA T L . Noncooperative cellular wireless with unlimited numbers of base station antennas[J]. IEEE Transactions on Wireless Communications, 2010,9(11): 3590-3600.
[13]	方昕, 张建锋, 曹海燕 ,等. 大规模 MIMO 系统中动态导频分配[J]. 电子与信息学报, 2016,38(8): 1901-1907.
	FANG X , ZHANG J F , CAO H Y ,et al. Dynamic pilot allocation in massive MIMO system[J]. Journal of Electronics ＆ Information Technology, 2016,38(8): 1901-1907.
[14]	王庆扬, 谢沛荣, 熊尚坤 ,等. 5G 关键技术与标准综述[J]. 电信科学, 2017,33(11): 112-122.
	WANG Q Y , XIE P R , XIONG S K ,et al. Key technology and standardization progress for 5G[J]. Telecommunications Science, 2017,33(11): 112-122.
[15]	张平, 陶运铮, 张治 . 5G 若干关键技术评述[J]. 通信学报, 2016,37(7): 15-29.
	ZHANG P , TAO Y Z , ZHANG Z . Survey of several key technologies for 5G[J]. Journal on Communications, 2016,37(7): 15-29.
[16]	赵思聪, 黄磊, 申滨 ,等. LTE-U:未来移动通信系统发展的助推剂[J]. 电信科学, 2016,32(4): 114-125.
	ZHAO S C , HUANG L , SHEN B ,et al. LTE-U:the propellant for development of future mobile communication system[J]. Telecommunications Science, 2016,32(4): 114-125.
[17]	王祖阳, 杨传祥, 张进 ,等. 5G 无线网技术特征及部署应对策略分析[J]. 电信科学, 2018,34(Z1): 9-16.
	WANG Z Y , YANG C X , ZHANG J ,et al. Analysis on technology characteristics and deployment strategies of 5G wireless network[J]. Telecommunications Science, 2018,34(Z1): 9-16.
[18]	陈山枝 . 发展 5G 的分析与建议[J]. 电信科学, 2016,32(7): 1-10.
	CHEN S Z . Analysis and suggestion of future 5G directions[J]. Telecommunications Science, 2016,32(7): 1-10.

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	参数
小区数L/个	7
每个小区中的用户数K/个	10
天线数M /根	50
小区半径R/m	1 000
用户生成范围d_s/m	100～1 000
散射体半径r_s/m	100
小区边缘信噪功率比r_SNR/dB	20
路径损耗系数γ	2.5
噪声的方差σ²/dBm	1 ^-60
信号波长λ/m	0.1
天线间距D/m	0.05
散射路径数P/条	50
发送导频功率P_ρ/dB	20
发送数据功率P_u /dB	10

Pilot allocation based on users’ location and user classification in massive MIMO system

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